Testing Color

import numpy as np
np.set_printoptions(precision=3, suppress=True)
import pylab
import matplotlib.pyplot as plt
%matplotlib inline

import MotionClouds as mc
fx, fy, ft = mc.get_grids(mc.N_X, mc.N_Y, mc.N_frame)
#mc.recompute = True
mc.notebook = True

import os
name = 'color'
fx, fy, ft = mc.get_grids(mc.N_X, mc.N_Y, mc.N_frame)
z = mc.envelope_color(fx, fy, ft)
mc.figures(z, name)
mc.show_video2(name)

# explore parameters
for alpha in [0.0, 0.5, 1.0, 1.5, 2.0]:
    # resp. white(0), pink(1), red(2) or brownian noise (see http://en.wikipedia.org/wiki/1/f_noise
    name_ = name + '-alpha-' + str(alpha).replace('.', '_')
    z = mc.envelope_color(fx, fy, ft, alpha)
    mc.figures(z, name_)
    mc.show_video2(name_)

for ft_0 in [0.125, 0.25, 0.5, 1., 2., 4., np.inf]:# time space scaling
    name_ = name + '-ft_0-' + str(ft_0).replace('.', '_')
    z = mc.envelope_color(fx, fy, ft, ft_0=ft_0)
    mc.figures(z, name_)
    mc.show_video2(name_)

for size in range(5, 7):
    N_X, N_Y, N_frame = 2**size, 2**size, 2**size
    fx, fy, ft = mc.get_grids(N_X, N_Y, N_frame)
    ft_0 = N_X/float(N_frame)
    name_ = name + '-size-' + str(size).replace('.', '_')
    z = mc.envelope_color(fx, fy, ft, ft_0=ft_0)
    mc.figures(z, name_)
    mc.show_video2(name_)